Prediction method of skin conditions and prediction system thereof

A prediction method and technology for skin conditions, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of high experimental cost and cumbersome process, and achieve the effect of reasonable performance, time saving and low testing cost.

Active Publication Date: 2010-12-15
TSINGHUA UNIV
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Problems solved by technology

This kind of experiment not only needs to count a large amount of information, the process is cumb

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  • Prediction method of skin conditions and prediction system thereof
  • Prediction method of skin conditions and prediction system thereof
  • Prediction method of skin conditions and prediction system thereof

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Embodiment Construction

[0026] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0027] To achieve the purpose of the present invention, the embodiment of the present invention discloses a skin condition prediction method. Such as figure 1 As shown, the forecasting method includes the following steps:

[0028] S101: Obtain skin data of the subject, and digitize the above skin data to obtain characteristic attributes of the skin;

[0029] Specifically, firstly, the skin data of the subjects were obtained in the form of questionnaires. The questionnaires include "Questionnaire_Subject Information Questionnaire" and ...

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Abstract

The invention discloses a prediction method of skin conditions. The method comprises the following steps of: acquiring the skin data of a testee; and digitizing the skin data to acquire the characteristic attributes of the skin; extracting the key characteristics from the characteristic attributes by adopting a characteristic extraction method to acquire an order result of the key characteristics according to importance degrees thereof; and normalizing all the ordered key characteristics; training and iterating an NN (Neural Network) by utilizing the normalized key characteristics as a training data set to generate an NN-based prediction model; and predicting and analyzing the skin conditions of the testee by utilizing the NN-based prediction model and generating and outputting skin improvement opinions aiming at the testee according to an analysis result. Compared with a traditional prediction method, the prediction method of skin conditions and the prediction system of the invention save time and cost, are simple and practical, is suitable for repeatedly training and studying based on more training data and have operation effects according with traditional experimental results and reasonable presentations to unknown data.

Description

technical field [0001] The invention relates to the fields of computer application technology and skin care product prediction, in particular to a skin condition prediction method and a prediction system thereof. Background technique [0002] With the continuous improvement of living standards, people not only pay attention to the abundance of material life, but also devote more energy to maintaining their own skin. Today, women have a greater interest in this area, and most women use cosmetics to keep their skin in top condition. [0003] Therefore, in order to gain more market share, daily-use cosmetics companies regard the testing of the skin condition of the general population as an important task in the product development process. However, traditional skin condition tests are generally done using medical clinical experiments. This kind of experiment not only needs to count a large amount of information, the process is cumbersome, but also requires the use of special ...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 徐华万伟张文浩崔安颀胡新成邓刚希勒布兰德·格雷格
Owner TSINGHUA UNIV
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